// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#pragma once

#include "paddle_api.h"
#include "paddle_inference_api.h"

#include <include/ocr_cls.h>
#include <include/utility.h>

namespace PaddleOCR
{

    class CRNNRecognizer
    {
    public:
        explicit CRNNRecognizer(const std::string &model_dir, const bool &use_gpu,
                                const int &gpu_id, const int &gpu_mem,
                                const int &cpu_math_library_num_threads,
                                const bool &use_mkldnn, const std::string &label_path,
                                const bool &use_tensorrt,
                                const std::string &precision,
                                const int &rec_batch_num, const int &rec_img_h,
                                const int &rec_img_w)
        {
            this->use_gpu_ = use_gpu;
            this->gpu_id_ = gpu_id;
            this->gpu_mem_ = gpu_mem;
            this->cpu_math_library_num_threads_ = cpu_math_library_num_threads;
            this->use_mkldnn_ = use_mkldnn;
            this->use_tensorrt_ = use_tensorrt;
            this->precision_ = precision;
            this->rec_batch_num_ = rec_batch_num;
            this->rec_img_h_ = rec_img_h;
            this->rec_img_w_ = rec_img_w;
            std::vector<int> rec_image_shape = {3, rec_img_h, rec_img_w};
            this->rec_image_shape_ = rec_image_shape;

            this->label_list_ = Utility::ReadDict(label_path);
            this->label_list_.insert(this->label_list_.begin(),
                                     "#"); // blank char for ctc
            this->label_list_.push_back(" ");

            LoadModel(model_dir);
        }

        // Load Paddle inference model
        void LoadModel(const std::string &model_dir);

        void Run(std::vector<cv::Mat> img_list, std::vector<std::string> &rec_texts,
                 std::vector<float> &rec_text_scores, std::vector<double> &times);
        std::shared_ptr<paddle_infer::Predictor> predictor_; // 推理库实例

    private:
        bool use_gpu_ = false;
        int gpu_id_ = 0;
        int gpu_mem_ = 4000;
        int cpu_math_library_num_threads_ = 4;
        bool use_mkldnn_ = false;

        std::vector<std::string> label_list_;

        std::vector<float> mean_ = {0.5f, 0.5f, 0.5f};
        std::vector<float> scale_ = {1 / 0.5f, 1 / 0.5f, 1 / 0.5f};
        bool is_scale_ = true;
        bool use_tensorrt_ = false;
        std::string precision_ = "fp32";
        int rec_batch_num_ = 6;
        int rec_img_h_ = 32;
        int rec_img_w_ = 320;
        std::vector<int> rec_image_shape_ = {3, rec_img_h_, rec_img_w_};
        // pre-process
        CrnnResizeImg resize_op_;
        Normalize normalize_op_;
        PermuteBatch permute_op_;

    }; // class CrnnRecognizer

} // namespace PaddleOCR
